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M. W. Browne, R. Cudeck (1993)
Testing structural equation modelsJournal of Management Information Systems
K. A. Bollen (1989)
Structural equations with latent variablesMIS Quarterly
D. Nelson (1990)
Individual Adjustment to Information-Driven Technologies: A Critical ReviewMIS Q., 14
C. Franz, D. Robey (1986)
ORGANIZATIONAL CONTEXT, USER INVOLVEMENT, AND THE USEFULNESS OF INFORMATION SYSTEMS*Decision Sciences, 17
F. D. Davis (1993)
User acceptance of information technology: System characteristics, user perceptions and behavioral impactsMIS Quarterly, 38
I. Benbasat, Ronald Taylor (1978)
The Impact of Cognitive Styles on Information System DesignMIS Q., 2
L. Olfman, Munir Mandviwalla (1994)
Conceptual Versus Procedural Software Training for Graphical User Interfaces: A Longitudinal Field ExperimentMIS Q., 18
J. Scholtz, S. Wiedenbeck (1990)
Learning second and subsequent programming languages: A problem of transferInt. J. Hum. Comput. Interact., 2
F. D. Davis, R. P. Bagozzi, P. R. Warshaw (1989)
User acceptance of computer technology: A comparison of two theoretical modelsJournal of Management Information Systems, 35
I. Ajzen, T. Madden (1986)
Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control
Sidney Davis, R. Bostrom (1993)
Training End Users: An Experimental Investigation of the Roles of the Computer Interface and Training MethodsMIS Q., 17
B. Blaylock, L. Rees (1984)
COGNITIVE STYLE AND THE USEFULNESS OF INFORMATIONDecision Sciences, 15
I. Benbasat, R. N. Taylor (1978)
The impact of cognitive styles on information systems designDecision Sciences, 2
R. M. Baron, D. A. Kenny (1986)
The moderator‐mediator variable in social psychological research: Conceptual, strategic, and statistical considerationsPsychological Bulletin, 51
G. Huber (1983)
Cognitive Style as a Basis for MIS and DSS Designs: Much ADO About Nothing?Management Science, 29
L. J. Cronbach, R. E. Snow (1977)
Aptitudes and instructional methods: A handbook for research on interactionsDecision Sciences
T. Levin, C. Gordon (1989)
Effect of Gender and Computer Experience on Attitudes toward ComputersJournal of Educational Computing Research, 5
Cynthia Jackson, Simeon Chow, R. Leitch (1997)
Toward an Understanding of the Behavioral Intention to Use an Information SystemDecision Sciences, 28
U. Gattiker (1992)
Computer Skills Acquisition: A Review and Future Directions for ResearchJournal of Management, 18
A. Staats, C. Staats (1958)
Attitudes established by classical conditioning.Journal of abnormal psychology, 57 1
R. Baron, D. Kenny (1986)
The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations.Journal of personality and social psychology, 51 6
A. Majchrzak, J. Cotton (1988)
A Longitudinal Study of Adjustment to Technological Change: From Mass To Computer-Automated Batch Production
V. Venkatesh, Fred Davis (1996)
A Model of the Antecedents of Perceived Ease of Use: Development and Test†Decision Sciences, 27
Fred Davis (1993)
User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral ImpactsInt. J. Man Mach. Stud., 38
Gary Nickell, John Pinto (2012)
The computer attitude scaleComputers in Human Behavior, 2
Ronald Thompson, C. Higgins, Jane Howell (1994)
Influence of Experience on Personal Computer Utilization: Testing a Conceptual ModelJ. Manag. Inf. Syst., 11
P. Bentler (1990)
Comparative fit indexes in structural models.Psychological bulletin, 107 2
Bernadette Szajna (1996)
Empirical evaluation of the revised technology acceptance modelManagement Science, 42
M. Igbaria, S. Parasuraman (1989)
A Path Analytic Study of Individual Characteristics, Computer Anxiety and Attitudes toward MicrocomputersJournal of Management, 15
R. P. Bostrom, L. Olfman, M. K. Sein (1990)
The importance of learning style in end‐user trainingInternational Journal of Man-Machine Studies, 14
S. Mulaik, Larry James, Judith Alstine, Nathan Bennett, Sherri Lind, C. Stilwell (1989)
EVALUATION OF GOODNESS-OF-FIT INDICES FOR STRUCTURAL EQUATION MODELSPsychological Bulletin, 105
G. H. Bower, E. R. Hilgard (1981)
Theories of learningManagement Science
F. D. Davis (1989)
Perceived usefulness, perceived ease of use, and user acceptance of information technologyJournal of Management, 13
Allison Harrison, R. Rainer, Jr., Hugh Watson, G. Houdeshel (1992)
The Influence of Individual Differences on Skill in End-User ComputingJ. Manag. Inf. Syst., 9
Fred Davis, R. Bagozzi, P. Warshaw (1989)
User Acceptance of Computer Technology: A Comparison of Two Theoretical ModelsManagement Science, 35
M. Gick, K. Holyoak (1987)
The cognitive basis of knowledge transfer.
M. Alavi, E. Joachimsthaler (1992)
Revisiting DSS Implementation Research: A Meta-Analysis of the Literature and Suggestions for ResearchersMIS Q., 16
Dennis Adams, R. Nelson, P. Todd (1992)
Perceived Usefulness, Ease of Use, and Usage of Information Technology: A ReplicationMIS Q., 16
A. Bandura (1977)
Social learning theoryMIS Quarterly
G. Moore, I. Benbasat (1991)
Development of an Instrument to Measure the Perceptions of Adopting an Information Technology InnovationInf. Syst. Res., 2
G. DeSanctis (1982)
An examination of an expectancy theory model of decision support system use
W. DeLone, F. McLean (1990)
Information systems success: The quest for the dependent variableJournal of Management, 3
D. Mandelkern (1993)
GUIs: the next generationCommun. ACM, 36
G. Zinkhan, E. Joachimsthaler, Thomas Kinnear (1987)
Individual Differences and Marketing Decision Support System Usage and SatisfactionJournal of Marketing Research, 24
R. Zmud (1982)
Diffusion of Modern Software Practices: Influence of Centralization and FormalizationManagement Science, 28
R. Bostrom, L. Olfman, M. Sein (1990)
The Importance of Learning Style in End-User TrainingMIS Q., 14
Deborah Compeau, C. Higgins (1995)
Application of Social Cognitive Theory to Training for Computer SkillsInf. Syst. Res., 6
M. Igbaria, T. Guimaraes, G. Davis (1995)
Testing the Determinants of Microcomputer Usage via a Structural Equation ModelJ. Manag. Inf. Syst., 11
L. D. Davis, D. F. Davis (1990)
The effect of training techniques and personal characteristics on training end‐users of information systemsManagement Science, 7
Robert Umbaugh (1992)
AUBREY G. CHERNICKInformation Systems Management, 9
R. Zmud (1979)
INDIVIDUAL DIFFERENCES AND MIS SUCCESS: A REVIEW OF THE EMPIRICAL LITERATURE*Management Science, 25
M. Sein, R. Bostrom, L. Olfman (1987)
Training End Users To Compute: Cognitive, Motivational And Social IssuesInfor, 25
L. J. Cronbach (1970)
Essentials of psychological testingPsychological Review
T. Burns, G. Stalker (1961)
The management of innovationMIS Quarterly
Kieran Mathieson (1991)
Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned BehaviorInf. Syst. Res., 2
Fred Davis (1989)
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information TechnologyMIS Q., 13
L. Doob (1947)
The behavior of attitudes.Psychological review, 54 3
D. Goodhue, Ronald Thompson (1995)
Task-Technology Fit and Individual PerformanceMIS Q., 19
S. A. Davis, R. P. Bostrom (1993)
Training end users: An experimental investigation of the roles of the computer interface and training methodsJournal of Management Information Systems, 17
Shirley Taylor, P. Todd (1995)
Understanding Information Technology Usage: A Test of Competing ModelsInf. Syst. Res., 6
I. Vessey (1991)
Cognitive Fit: A Theory‐Based Analysis of the Graphs Versus Tables Literature*Decision Sciences, 22
B. K. Blaylock, L. P. Rees (1984)
Cognitive style and the usefulness of informationInformation Systems Research, 15
G. Sanders, J. Courtney (1985)
A Field Study of Organizational Factors Influencing DSS SuccessMIS Q., 9
E. Lusk, Michael Kersnick (1979)
The Effect of Cognitive Style and Report Format on Task Performance: The MIS Design ConsequencesManagement Science, 25
I. Ajzen, M. Fishbein (1980)
Understanding attitudes and predicting social behaviorJournal of Experimental Social Psychology
P. M. Bentler (1990)
Comparative fit indexes in structural modelsMIS Quarterly, 107
R. Stine (1989)
An Introduction to Bootstrap MethodsSociological Methods & Research, 18
M. Alavi, E. A. Joachimsthaler (1992)
Revisiting DSS implementation research: A meta‐analysis of the literature and suggestions for researchersJournal of Personality and Social Psychology, 16
D. Davis, D. Davis (1990)
The Effect of Training Techniques and Personal Characteristics on Training End Users of Information SystemsJ. Manag. Inf. Syst., 7
Persuading users to adopt new information technologies persists as an important problem confronting those responsible for implementing new information systems. In order to better understand and manage the process of new technology adoption, several theoretical models have been proposed, of which the technology acceptance model (TAM) has gained considerable support. Beliefs and attitudes represent significant constructs in TAM. A parallel research stream suggests that individual difference factors are important in information technology acceptance but does not explicate the process by which acceptance is influenced. The objective of this paper is to clarify this process by proposing a theoretical model wherein the relationship between individual differences and IT acceptance is hypothesized to be mediated by the constructs of the technology acceptance model. In essence then, these factors are viewed as influencing an individual's beliefs about an information technology innovation; this relationship is further supported by drawing upon extensive research in learning. The theoretical model was tested in an empirical study of 230 users of an information technology innovation. Results confirm the basic structure of the model, including the mediating role of beliefs. Results also identify several individual difference variables that have significant effects on TAM's beliefs. Theoretical contributions and practical implications that follow are discussed.
Decision Sciences – Wiley
Published: Mar 1, 1999
Keywords: ; ; ; ; ;
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